{"id":"nasa-nex-gddp-cmip6","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/nasa-nex-gddp-cmip6/items"},{"rel":"parent","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"root","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"self","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/nasa-nex-gddp-cmip6"},{"rel":"license","href":"https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html","type":"text/html","title":"CMIP6 Terms of 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NEX","roles":["producer"]},{"url":"https://planetarycomputer.microsoft.com/","name":"Microsoft","roles":["host","processor"]}],"summaries":{"cmip6:model":["ACCESS-CM2","ACCESS-ESM1-5","BCC-CSM2-MR","CESM2","CESM2-WACCM","CMCC-CM2-SR5","CMCC-ESM2","CNRM-CM6-1","CNRM-ESM2-1","CanESM5","EC-Earth3","EC-Earth3-Veg-LR","FGOALS-g3","GFDL-CM4","GFDL-CM4_gr2","GFDL-ESM4","GISS-E2-1-G","HadGEM3-GC31-LL","HadGEM3-GC31-MM","IITM-ESM","INM-CM4-8","INM-CM5-0","IPSL-CM6A-LR","KACE-1-0-G","KIOST-ESM","MIROC-ES2L","MIROC6","MPI-ESM1-2-HR","MPI-ESM1-2-LR","MRI-ESM2-0","NESM3","NorESM2-LM","NorESM2-MM","TaiESM1","UKESM1-0-LL"],"cmip6:scenario":["historical","ssp245","ssp585"],"cmip6:variable":["hurs","huss","pr","rlds","rsds","sfcWind","tas","tasmax","tasmin"]},"description":"The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.\n\nThe [NASA Center for Climate Simulation](https://www.nccs.nasa.gov/) maintains the [next-gddp-cmip6 product page](https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6) where you can find more information about these datasets. Users are encouraged to review the [technote](https://www.nccs.nasa.gov/sites/default/files/NEX-GDDP-CMIP6-Tech_Note.pdf), provided alongside the data set, where more detailed information, references and acknowledgements can be found.\n\nThis collection contains many NetCDF files. There is one NetCDF file per `(model, scenario, variable, year)` tuple.\n\n- **model** is the name of a modeling group (e.g. \"ACCESS-CM-2\"). See the `cmip6:model` summary in the STAC collection for a full list of models.\n- **scenario** is one of \"historical\", \"ssp245\" or \"ssp585\".\n- **variable** is one of \"hurs\", \"huss\", \"pr\", \"rlds\", \"rsds\", \"sfcWind\", \"tas\", \"tasmax\", \"tasmin\".\n- **year** depends on the value of *scenario*. For \"historical\", the values range from 1950 to 2014 (inclusive). For \"ssp245\" and \"ssp585\", the years range from 2015 to 2100 (inclusive).\n\nIn addition to the NetCDF files, we provide some *experimental* **reference files** as collection-level dataset assets. These are JSON files implementing the [references specification](https://fsspec.github.io/kerchunk/spec.html).\nThese files include the positions of data variables within the binary NetCDF files, which can speed up reading the metadata. See the example notebook for more.","item_assets":{"pr":{"type":"application/netcdf","roles":["data"],"title":"Precipitation","description":"Precipitation"},"tas":{"type":"application/netcdf","roles":["data"],"title":"Daily Near-Surface Air Temperature","description":"Daily Near-Surface Air Temperature"},"hurs":{"type":"application/netcdf","roles":["data"],"title":"Near-Surface Relative Humidity","description":"Near-Surface Relative Humidity"},"huss":{"type":"application/netcdf","roles":["data"],"title":"Near-Surface Specific Humidity","description":"Near-Surface Specific Humidity"},"rlds":{"type":"application/netcdf","roles":["data"],"title":"Surface Downwelling Longwave Radiation","description":"Surface Downwelling Longwave Radiation"},"rsds":{"type":"application/netcdf","roles":["data"],"title":"Surface Downwelling Shortwave Radiation","description":"Surface Downwelling Shortwave Radiation"},"tasmax":{"type":"application/netcdf","roles":["data"],"title":"Daily Maximum Near-Surface Air Temperature","description":"Daily Maximum Near-Surface Air Temperature"},"tasmin":{"type":"application/netcdf","roles":["data"],"title":"Daily Minimum Near-Surface Air Temperature","description":"Daily Minimum Near-Surface Air Temperature"},"sfcWind":{"type":"application/netcdf","roles":["data"],"title":"Daily-Mean Near-Surface Wind Speed","description":"Daily-Mean Near-Surface Wind Speed"}},"sci:citation":"Climate scenarios used were from the NEX-GDDP-CMIP6 dataset, prepared by the Climate Analytics Group and NASA Ames Research Center using the NASA Earth Exchange, and distributed by the NASA Center for Climate Simulation (NCCS).","stac_version":"1.0.0","cube:variables":{"pr":{"type":"data","unit":"kg m-2 s-1","attrs":{"units":"kg m-2 s-1","comment":"includes both liquid and solid phases","long_name":"Precipitation","cell_methods":"area: time: mean","cell_measures":"area: areacella","standard_name":"precipitation_flux"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Precipitation"},"tas":{"type":"data","unit":"K","attrs":{"units":"K","comment":"near-surface (usually, 2 meter) air temperature; derived from downscaled tasmax & tasmin","long_name":"Daily Near-Surface Air Temperature","cell_methods":"area: mean time: maximum","cell_measures":"area: areacella","standard_name":"air_temperature"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Daily Near-Surface Air Temperature"},"hurs":{"type":"data","unit":"%","attrs":{"units":"%","comment":"The relative humidity with respect to liquid water for T> 0 C, and with respect to ice for T<0 C.","long_name":"Near-Surface Relative Humidity","cell_methods":"area: time: mean","cell_measures":"area: areacella","standard_name":"relative_humidity"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Near-Surface Relative Humidity"},"huss":{"type":"data","unit":"1","attrs":{"units":"1","comment":"Near-surface (usually, 2 meter) specific humidity.","long_name":"Near-Surface Specific Humidity","cell_methods":"area: time: mean","cell_measures":"area: areacella","standard_name":"specific_humidity"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Near-Surface Specific Humidity"},"rlds":{"type":"data","unit":"W m-2","attrs":{"units":"W m-2","comment":"The surface called 'surface' means the lower boundary of the atmosphere. 'longwave' means longwave radiation. Downwelling radiation is radiation from above. It does not mean 'net downward'. When thought of as being incident on a surface, a radiative flux is sometimes called 'irradiance'. In addition, it is identical with the quantity measured by a cosine-collector light-meter and sometimes called 'vector irradiance'. In accordance with common usage in geophysical disciplines, 'flux' implies per unit area, called 'flux density' in physics.","long_name":"Surface Downwelling Longwave Radiation","cell_methods":"area: time: mean","cell_measures":"area: areacella","standard_name":"surface_downwelling_longwave_flux_in_air"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Surface Downwelling Longwave Radiation"},"rsds":{"type":"data","unit":"W m-2","attrs":{"units":"W m-2","comment":"Surface solar irradiance for UV calculations.","long_name":"Surface Downwelling Shortwave Radiation","cell_methods":"area: time: mean","cell_measures":"area: areacella","standard_name":"surface_downwelling_shortwave_flux_in_air"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Surface Downwelling Shortwave Radiation"},"tasmax":{"type":"data","unit":"K","attrs":{"units":"K","comment":"maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute 'time: max')","long_name":"Daily Maximum Near-Surface Air Temperature","cell_methods":"area: mean time: maximum","cell_measures":"area: areacella","standard_name":"air_temperature"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Daily Maximum Near-Surface Air Temperature"},"tasmin":{"type":"data","unit":"K","attrs":{"units":"K","comment":"minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute 'time: min')","long_name":"Daily Minimum Near-Surface Air Temperature","cell_methods":"area: mean time: minimum","cell_measures":"area: areacella","standard_name":"air_temperature"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Daily Minimum Near-Surface Air Temperature"},"sfcWind":{"type":"data","unit":"m s-1","attrs":{"units":"m s-1","comment":"near-surface (usually, 10 meters) wind speed.","long_name":"Daily-Mean Near-Surface Wind Speed","cell_methods":"area: time: mean","cell_measures":"area: areacella","standard_name":"wind_speed"},"shape":[365,600,1440],"dimensions":["time","lat","lon"],"description":"Daily-Mean Near-Surface Wind Speed"}},"msft:container":"nex-gddp-cmip6","cube:dimensions":{"lat":{"axis":"y","step":0.25,"type":"spatial","extent":[-59.875,89.875],"description":"latitude","reference_system":4326},"lon":{"axis":"x","step":0.25,"type":"spatial","extent":[0.125,359.875],"description":"longitude","reference_system":4326},"time":{"step":"P1DT0H0M0S","type":"temporal","extent":["1950-01-01T12:00:00Z","2100-12-31T00:00:00Z"],"description":"time"}},"stac_extensions":["https://stac-extensions.github.io/datacube/v2.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/item-assets/v1.0.0/schema.json","https://stac-extensions.github.io/table/v1.2.0/schema.json"],"msft:storage_account":"nasagddp","msft:short_description":["Global downscaled climate scenarios derived from the General Circulation Model conducted under CMIP6."],"msft:region":"westeurope"}